… less potent in detecting unknown malware, alternatives are … utilises ensemble learning for
Android malware detection. It … of ensemble machine learning to improve Android malware …

… By employing ensemble learning, we implement a novel dynamic analysis system called …
Ensemble learning combining results from multiple base machine learning algorithms can …

… ), providing opportunity for the evolving malware threats. We propose a malware detection
… and intents which are unique to malware apps. These combinations form an efficient …

… Machine learning provides an intelligent way to detect malware … ensemble learning-based
method for malware detection. The base stage classification is done by a stacked ensemble of …

… propose a malware dynamic detection method based on mufti-feature ensemble learning. …
such as API call sequence with high detection precision and low-level hardware features such …

… , and visualize malware data. In this paper, the authors have designed two methods based
on ensemble learning and big data for improving the performance of malware detection at a …

… , we explore using specialized detectors for different malware types. We show that such …
their malware type. Furthermore, we study different approaches for ensemble learning: …

… to realize effective run-time detection of malware. We propose ensemble learning techniques
to improve the performance of the hardwarebased malware detectors despite using a very …

… Because of the wealth of available feature views, we propose two malware detection … using
different ensemble learning mechanisms to arrive at detecting new and unknown malware. …

… less effective in detecting new and unknown malware, therefore, machine learning techniques
are … an optimized android malware detection model using ensemble learning technique. …